{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "# mplfinance subplots using the \"Static Image Method\"\n",
    "\n",
    "---\n",
    "\n",
    "### Introduction:\n",
    "* It is possible to \"cheat\" and place multiple mplfinance plots onto a single figure, by saving the mplfinance plots as images, and using matplotlib's ` imshow() ` feature.\n",
    "* Here is an example:\n",
    "\n",
    "\n",
    "    from PIL import Image\n",
    "\n",
    "    im = Image.open('tight.png')\n",
    "\n",
    "    import matplotlib.pyplot as plt\n",
    "\n",
    "    def plotimg(im):\n",
    "        fig,ax = plt.subplots()\n",
    "        ax.set_axis_off()\n",
    "        ax.imshow(im)\n",
    "        plt.show()\n",
    "\n",
    "    plotimg(im)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## PLEASE NOTE:  This tutorial ASSUMES you have already read:<br><br>&nbsp;&nbsp;&nbsp; [Adding Your Own Technical Studies to Plots](https://github.com/matplotlib/mplfinance/blob/master/examples/addplot.ipynb)\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "---\n",
    "\n",
    "## Examples:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This allows multiple outputs from a single jupyter notebook cell:\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"all\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(252, 9)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>UpperB</th>\n",
       "      <th>LowerB</th>\n",
       "      <th>PercentB</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-07-01</th>\n",
       "      <td>132.089996</td>\n",
       "      <td>134.100006</td>\n",
       "      <td>131.779999</td>\n",
       "      <td>133.919998</td>\n",
       "      <td>117.161659</td>\n",
       "      <td>202385700</td>\n",
       "      <td>132.373927</td>\n",
       "      <td>125.316073</td>\n",
       "      <td>1.219057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-05</th>\n",
       "      <td>133.779999</td>\n",
       "      <td>134.080002</td>\n",
       "      <td>133.389999</td>\n",
       "      <td>133.809998</td>\n",
       "      <td>117.065437</td>\n",
       "      <td>165936000</td>\n",
       "      <td>133.254297</td>\n",
       "      <td>124.912703</td>\n",
       "      <td>1.066618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-07-06</th>\n",
       "      <td>133.490005</td>\n",
       "      <td>134.139999</td>\n",
       "      <td>133.110001</td>\n",
       "      <td>133.970001</td>\n",
       "      <td>117.205429</td>\n",
       "      <td>143331600</td>\n",
       "      <td>134.040915</td>\n",
       "      <td>124.627085</td>\n",
       "      <td>0.992467</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2011-07-01  132.089996  134.100006  131.779999  133.919998  117.161659   \n",
       "2011-07-05  133.779999  134.080002  133.389999  133.809998  117.065437   \n",
       "2011-07-06  133.490005  134.139999  133.110001  133.970001  117.205429   \n",
       "\n",
       "               Volume      UpperB      LowerB  PercentB  \n",
       "Date                                                     \n",
       "2011-07-01  202385700  132.373927  125.316073  1.219057  \n",
       "2011-07-05  165936000  133.254297  124.912703  1.066618  \n",
       "2011-07-06  143331600  134.040915  124.627085  0.992467  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>UpperB</th>\n",
       "      <th>LowerB</th>\n",
       "      <th>PercentB</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012-06-27</th>\n",
       "      <td>132.419998</td>\n",
       "      <td>133.429993</td>\n",
       "      <td>131.970001</td>\n",
       "      <td>133.169998</td>\n",
       "      <td>118.980804</td>\n",
       "      <td>108088000</td>\n",
       "      <td>136.447962</td>\n",
       "      <td>128.140042</td>\n",
       "      <td>0.605441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-06-28</th>\n",
       "      <td>132.289993</td>\n",
       "      <td>132.990005</td>\n",
       "      <td>131.279999</td>\n",
       "      <td>132.789993</td>\n",
       "      <td>118.641281</td>\n",
       "      <td>169242100</td>\n",
       "      <td>136.500761</td>\n",
       "      <td>128.219241</td>\n",
       "      <td>0.551922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-06-29</th>\n",
       "      <td>135.199997</td>\n",
       "      <td>136.270004</td>\n",
       "      <td>134.850006</td>\n",
       "      <td>136.100006</td>\n",
       "      <td>121.598610</td>\n",
       "      <td>212250900</td>\n",
       "      <td>136.721010</td>\n",
       "      <td>128.792993</td>\n",
       "      <td>0.921670</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2012-06-27  132.419998  133.429993  131.970001  133.169998  118.980804   \n",
       "2012-06-28  132.289993  132.990005  131.279999  132.789993  118.641281   \n",
       "2012-06-29  135.199997  136.270004  134.850006  136.100006  121.598610   \n",
       "\n",
       "               Volume      UpperB      LowerB  PercentB  \n",
       "Date                                                     \n",
       "2012-06-27  108088000  136.447962  128.140042  0.605441  \n",
       "2012-06-28  169242100  136.500761  128.219241  0.551922  \n",
       "2012-06-29  212250900  136.721010  128.792993  0.921670  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idf = pd.read_csv('data/SPY_20110701_20120630_Bollinger.csv',index_col=0,parse_dates=True)\n",
    "#df = df.loc['2012-01-01':,:]\n",
    "idf.shape\n",
    "idf.head(3)\n",
    "idf.tail(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "#### Let's grab 5 months of data from the input data frame:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = idf.loc['2011-07-01':'2011-12-30',:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "#### We can, of course, plot a basic ohlc or candlestick plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x575 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import mplfinance as mpf\n",
    "mpf.plot(df,volume=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['binance',\n",
       " 'blueskies',\n",
       " 'brasil',\n",
       " 'charles',\n",
       " 'checkers',\n",
       " 'classic',\n",
       " 'default',\n",
       " 'mike',\n",
       " 'nightclouds',\n",
       " 'sas',\n",
       " 'starsandstripes',\n",
       " 'yahoo']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mpf.available_styles()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import io\n",
    "import matplotlib.pyplot as plt\n",
    "from PIL import Image\n",
    "\n",
    "# im = Image.open('tight.png')\n",
    "\n",
    "def plotimg(im):\n",
    "    fig,ax = plt.subplots()\n",
    "    ax.set_axis_off()\n",
    "    ax.imshow(im)\n",
    "    plt.show()\n",
    "\n",
    "# plotimg(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "plots = []\n",
    "for p in range(4):\n",
    "    plots.append(io.BytesIO())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "stylelist= [\n",
    "     'blueskies',\n",
    "     'charles',\n",
    "     'default',\n",
    "     'nightclouds',\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "for p,s in enumerate(stylelist):\n",
    "    mpf.plot(df,volume=True,savefig=plots[p],style=s,figscale=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "fig, ax = plt.subplots(2,2,figsize=(10,8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "axes = [x for sub in ax for x in sub ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.axes._subplots.AxesSubplot at 0x7f40d4af7c50>,\n",
       " <matplotlib.axes._subplots.AxesSubplot at 0x7f40d2585250>,\n",
       " <matplotlib.axes._subplots.AxesSubplot at 0x7f40d1dcc650>,\n",
       " <matplotlib.axes._subplots.AxesSubplot at 0x7f40d1d80c90>]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "axes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f40d19d3450>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f40d1d0a5d0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f40d1c97450>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f40d1c974d0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for ix,p in enumerate(plots):\n",
    "    p.seek(0)\n",
    "    im = Image.open(p)\n",
    "    ax = axes[ix]\n",
    "    ax.set_axis_off()\n",
    "    ax.imshow(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x800 with 4 Axes>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
